Under the perspective projection assumption,non-Lambertian photometric stereo is a highly non-linear problem.In this study,we present an optimized framework for reconstructing the surface normal and depth with non-Lam...Under the perspective projection assumption,non-Lambertian photometric stereo is a highly non-linear problem.In this study,we present an optimized framework for reconstructing the surface normal and depth with non-Lambertian reflection models under perspective projection.By decomposing the images into diffuse and specular components,we compute the surface normal and reflectance simultaneously.We also propose a variational formulation that is robust and useful for surface reconstruction.The experiments show that our method accurately reconstructs both the surface shape and reflectance of colorful objects with non-Lambertian surfaces.展开更多
基金the Technological Program of Cultural Relics Preservation of Zhejiang Province,Chinathe Key Research and Development Program of Zhejiang Province,China(No.2018C03051)the National Standard Development Program of Cultural Relics Protection of China(No.581250-T0170B)。
文摘Under the perspective projection assumption,non-Lambertian photometric stereo is a highly non-linear problem.In this study,we present an optimized framework for reconstructing the surface normal and depth with non-Lambertian reflection models under perspective projection.By decomposing the images into diffuse and specular components,we compute the surface normal and reflectance simultaneously.We also propose a variational formulation that is robust and useful for surface reconstruction.The experiments show that our method accurately reconstructs both the surface shape and reflectance of colorful objects with non-Lambertian surfaces.
